Aggregating
Understanding Feature Engineering
Content Curation
Understanding Real-time Analytics
Adjustments
Model Evaluation
Information Retrieval
Data Analysis Frameworks
Utilizing Big Data for Business Intelligence 
Data Processing: This involves cleaning, transforming, and
aggregating data to make it suitable for analysis
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Understanding Feature Engineering Feature Transformation: Applying transformations such as scaling, encoding, or
aggregating to prepare features for modeling
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Content Curation Social Curation: Focuses on
aggregating content from social media platforms and user-generated content
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Understanding Real-time Analytics Data Processing: The transformation of raw data into a usable format, often involving cleaning, filtering, and
aggregating data
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Adjustments Common methods include:
Aggregating data Encoding categorical variables Scaling numerical values 3
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Model Evaluation Models are trained on these sets, and performance is evaluated by
aggregating results from each iteration
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Information Retrieval Business Intelligence:
Aggregating and analyzing data from multiple sources to inform strategic decisions
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Data Analysis Frameworks This may include: Normalizing or scaling numerical values Encoding categorical variables
Aggregating data for summary statistics 4
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Forecasting Sales Trends Sales Force Composite:
Aggregating forecasts from individual sales representatives
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How to Create a Machine Learning Dashboard SQL, NoSQL) Using APIs to retrieve data from external sources
Aggregating data from multiple datasets to provide a holistic view 5
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